Degrid: As observed by Yu et al.[1]}, using dilated convolutions have a tendency to introduce grid artifacts in the feature maps. These are removed by using a degridding layers consisting of convolution layers with successively smaller dilation. The degridding layers in our architecture consists of two successive 3x3 convolutions with 2-dilation followed by 1-dilation. Both have 512 filters.
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